Job DescriptionJob Responsibilities:
NAs Manager-Data Science, you will be responsible for a wide range of
Nengagements listed below:
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- Collaborate with the Engagement Manager, Account Delivery Manager, and client stakeholders to gather business requirements for the project. N
- Develop a comprehensiveproject plan that aligns with the scope and objectives of the project. N
- Develop appropriate solution design that will help client achieve their goals. N
- Assign delivery team members to different activities suited to their individual skills. N
- Lead the execution of project activities according to the project plan. N
- Monitor the project, track milestones, and adhere to agreed-upon timelines and scope. N
- Accountable for the delivery quality of the project in question. N
- Comply with all the critical dimensions of the delivery scorecard, report as-is facts on those dimensions, and develop and execute action plans to improve delivery scores. N
- Lead internal scrum meetings and stand-ups with the clients and Weekly Business Reviews with the clients. N




- Ensure compliance with best practices and established processes for quality assurance—for example, using quality assurance checklists, coding best practices, peer reviews, and documentation. N
- Provide both business and technical guidance to the delivery team. N
- Coach individuals in the team and build a high-performance workplace. N
- Establish an environment of mutual trust and respect and encourage the team to experiment with recent delivery ideas. N
- Review the team's deliverables before sharing them with clients, including codes, presentations, worksheets, emails, etc. N

nRequired Skills (Must have):
NTech
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- Advanced programming knowledge in Python and SQL. N
- Advanced knowledge in Probability and Statistics, including hypothesis testing. N
- Advanced knowledge in Practical Machine Learning and awareness of the key-pitfalls in the practice of machine learning and app

📌 Data Science Manager (Karnataka)
🏢 MathCo
📍 Karnataka